Publications
2013
-
"Binary particle swarm optimisation with improved scaling behaviour",
D Gorse,
in: in: M Verleysen (ed), Proceedings of ESANN 2013,
239-244, 2013.
-
"A novel application of particle swarm optimisation to optimal trade
execution",
M Saeidi and D Gorse,
in: M Lee et al (eds), ICONIP 2013, Part II,
LNCS 8227, 448-455, 2013.
-
"Identification of the predictability of steel manufacturer stock price
movements using particle swarm optimisation",
P Khoury and D Gorse,
in: M Lee et al (eds), ICONIP 2013, Part II,
LNCS 8227, 673-680, 2013.
2012
-
"Identification of factors characterising volatility and firm-specific risk
using ensemble classifiers",
P Khoury and D Gorse,
in: T Huang et al (eds), ICONIP 2012, Part IV,
LNCS 7666, 450-457, 2012.
-
"Extracting key gene regulatory dynamics for the direct control
of mechanical systems",
J Krohn and D Gorse,
in: C A Coello et al (eds), PPSN 2012, Part I,
LNCS 7491, 468-477, 2012.
-
"Construction of emerging markets exchange traded funds using
multiobjective particle swarm optimisation",
M Diez-Fernandez, S Alvarez Telena and D Gorse,
in: A E P Villa et al (eds), ESANN 2012, Part II,
LNCS 7553, 140-147, 2012.
2011
-
"Application of stochastic recurrent reinforcement learning to index
trading",
D Gorse, in: M Verleysen (ed), Proceedings of ESANN 2011,
123-128, 2011.
2010
-
"Fractal gene regulatory networks for control of nonlinear systems",
J Krohn and D Gorse, in: R Schaefer et al (eds), PPSN 2010, Part II,
LNCS 6239, 209-218, 2010.
2005
-
"Morphological aspects of oligomeric protein structures", H Postingl,
T Kabir, D Gorse, H Postingl and J M Thornton,
Progress in Biophysics and Molecular Biology, 89(1), 9-35, 2005.
2003
-
"A novel approach to the recognition of protein architecture from sequence
using Fourier analysis and neural networks",
A J Shepherd, D Gorse and J M Thornton,
Proteins, 50(2), 290-302, 2003.
2002
-
"Wavelet transforms for the characterization and detection of repeating
motifs",
K Murray, D Gorse and J M Thornton,
Journal of Molecular Biology, 316(2), 341-363, 2002.
-
"Application of a chaperone-based refolding method to 2- and 3-dimensional
off-lattice protein models", D Gorse,
Biopolymers, 64(3), 146-160, 2002.
2001
-
"Global minimisation of an off-lattice potential energy function using a
chaperone-based refolding method", D Gorse,
Biopolymers, 59(6), 411-426, 2001.
- "Speaker identification for security systems using
reinforcement-trained pRAM neural network architectures", T G Clarkson,
C C Christodoulou, Y Guan, D Gorse, D A Romano-Critchley and
J G Taylor, IEEE Trans. Syst. Man Cyb., 31(1), 65-76, 2001.
1999
-
"Prediction of the location and type
of beta-turns in proteins using neural networks",
A J Shepherd, D Gorse and J M Thornton, Protein
Science, 8(5), 1045-1055, 1999.
1997
-
"Application of weak classifier architectures to protein structure
classification", D Gorse, in: Proceedings of ECSAP-97,
Prague, June 1997, pp 383-386.
- "The new ERA in supervised learning", D Gorse, A Shepherd
and J G Taylor, Neural Networks, 10, 343-352, 1997.
-
"A pulse-based reinforcement
algorithm for learning continuous functions",
D Gorse, D A Romano-Critchley and J G Taylor,
Neurocomputing, 14, 319-344, 1997.
1996
-
"A modular pRAM architecture for the classification of TESPAR-encoded
speech signals", D Gorse and D A Romano-Critchley, Neural Network
World,
6, 299-304, 1996.
-
"Binary state machines for arithmetic operations on pulse-coded
signals", D Gorse, in: Proceedings of ICONIP'96, Hong Kong, September 1996,
pp 563-566.
1995
-
"Learning real-valued univariate time
series: an application of a pulse-based reinforcement algorithm for
learning continuous functions using pRAMs", D Gorse and D A Romano-Critchley,
in: Proceedings of the Weightless Neural Network Workshop '95
(WNNW'95), ed. David Bisset, pp 35-39.
-
"An architecture for the learning of
real-to-binary mappings using binary-output reinforcement training",
D Gorse and D A Romano-Critchley,
in: Proceedings of the Weightless Neural Network Workshop '95
(WNNW'95), ed. David Bisset, pp 70-75.
-
"Application of a pulse-based reinforcement
algorithm for learning continuous functions using pRAMs: the sunspot
prediction problem",
D Gorse and D A Romano-Critchley, in: Proceedings of ICANN '95, Paris,
October 1995, pp 227-232.
1994
- "A classical algorithm for avoiding local minima", D Gorse,
A Shepherd and J G Taylor, in: Proceedings of WCNN '94, San Diego,
June 1994, pp III-364 - III-369.
- "Avoiding local minima by a classical range expansion
algorithm", D Gorse, A Shepherd and J G Taylor, in: Proceedings of ICANN
'94, Sorrento, May 1994, Vol 1, pp 525-528.
- "Noisy reinforcement training for
pRAM nets", Y Guan, T Clarkson, J Taylor and D Gorse,
Neural Networks, 7, 523-538, 1994.
- "Temporal difference learning using a
pulse-based reinforcement training algorithm",
D Gorse, J G Taylor and T G Clarkson, in: Proceedings of ICONIP '94,
Seoul, October 1994, pp 293-298.
-
"A pulse-based reinforcement
algorithm for learning continuous functions",
D Gorse, J G Taylor and T G Clarkson, in: Proceedings of
WCNN '94, San Diego, June 1994, pp II-73 - II-78.
-
"Extended functionality for
probabilistic RAM neurons", D Gorse, J G Taylor and T G Clarkson,
in: Proceedings of ICANN '94, Sorrento, May
1994, Vol 1, pp 705-708.
1993
-
"Tracking global minima by progressive range expansion",
D Gorse, A Shepherd and J G Taylor, in: Proceedings of IJCNN '93,
Portland, Oregon, July 1993, pp IV-350 - IV-353.
-
"Avoiding local minima using a range expansion algorithm",
D Gorse, A Shepherd and J G Taylor, Neural Network World, 5, 503-510
(1993).
-
"Generalization in probabilistic RAM nets",
T G Clarkson, Y Guan, J G Taylor and D Gorse,
IEEE Transactions on Neural Networks, 4,
360-363, 1993.
-
"A hardware-implementable algorithm
for learning non-linear functions", D Gorse, J G Taylor and T G Clarkson,
in: Proceedings of IJCNN '93, Nagoya,
October 1993, pp I-911 - I-914.
-
"Learning real-valued functions using
a stochastic reinforcement algorithm", D Gorse, J G Taylor and T G Clarkson,
in: Proceedings of IJCNN '93,
Portland, Oregon, July 1993, pp III-301 - III-304.
-
"A Stochastic Reverse
Interpolation Algorithm for Real-Valued Function Learning",
Y Guan, T G Clarkson, J G Taylor and D Gorse, in:
Proceedings of the 3rd IEE Int. Conf. on Artificial Neural Networks,
Brighton, May 1993.
-
"A review of the theory of pRAMs", D Gorse and J G Taylor, in: Proceedings
of the Weightless Neural Network Workshop '93, York, April 1993, pp 13-17.
1992
-
"Adding stochastic search to conjugate gradient
algorithms", D Gorse and A Shepherd, Neural Network World, 2,
599-605, 1992.
-
"Classical and stochastic search in conjugate gradient
algorithms", D Gorse, in: Proceedings of IJCNN '92, Beijing,
November 1992, pp 435-440.
-
"Learning probabilistic RAM
nets using VLSI structures" , T G Clarkson, C K Ng, D Gorse and J G Taylor,
IEEE Transactions on Computers, 41,
1552-1561, 1992.
-
"From wetware to hardware: reverse
engineering using probabilistic RAMs",
T G Clarkson, D Gorse and J G Taylor, Journal of Intelligent
Systems, 2, 11-30, 1992.
-
"A noisy training method for
digit recognition using pRAM neural networks",
Y Guan, T G Clarkson, J G Taylor and D Gorse, in:
Proceedings of IJCNN '92,
Beijing, November 1992, pp 673-678.
-
"The use of encoded outputs and
reinforcement training", Y Guan, T Clarkson, J G Taylor and D Gorse,
in: Proceedings of ICANN '92, Brighton,
September 1992, pp 653-656.
-
"The noisy-leaky
integrator model implemented using pRAMs",
J G Taylor, T G Clarkson, C Christodoulou and D Gorse, in: Proceedings of
IJCNN '92, Baltimore, June 1992, pp 178-183.
-
"The application of noisy
reward/penalty learning to pyramidal pRAM structures",
Y Guan, T G Clarkson, D Gorse and J G Taylor, in: Proceedings of
IJCNN '92, Baltimore, June 1992, pp 660-665.
-
"Associative reinforcement training using probabilistic RAM nets",
D Gorse, in: Neural Network Dynamics, eds. J G Taylor, E R Caianello,
R M J Cotterill and J W Clark, Springer, Berlin, 1992, pp 19-29.
1991
-
"A continuous input RAM-based stochastic neural
model", D Gorse and J G Taylor, Neural Networks, 4,
657-665, 1991.
-
"Universal associative stochastic learning
automata", D Gorse and J G Taylor, Neural Network World,
1, 193-202, 1991.
-
"Training strategies for probabilistic RAMs",D Gorse and J G Taylor,
in: Theory and Applications of Neural Networks, eds J G Taylor
and C L T Mannion, Springer, 1991, pp 211-217.
-
"Encoding temporal structure in probabilistic RAM
nets", D Gorse and J G Taylor,
in: Proceedings of the Second IEE International Conference on
Artificial Neural Networks, Bournemouth, November 1991, pp 369-372.
-
"Applications of the pRAM", T G Clarkson, D Gorse, Y Guan and J G Taylor,
in: Proceedings of IJCNN '91, Singapore, September 1991, pp 2618-2623.
-
"Learning sequential structure with recurrent pRAM
nets", D Gorse and J G Taylor,
in: Proceedings of IJCNN '91, Seattle, July 1991, pp 37-42.
-
"A serial-update VLSI
architecture for the learning probabilistic neuron",
T G Clarkson, C K Ng, D Gorse and J G Taylor, in:
Proceedings of ICANN '91, Helsinki, June 1991, pp 1573-1576.
-
"Biologically plausible learning in
hardware realisable nets", T G Clarkson, D Gorse and J G Taylor,
in: Proceedings of ICANN '91, Helsinki,
June 1991, pp 195-199.
1990
-
"A general model of stochastic neural
processing", D Gorse and J G Taylor, Biol. Cybern., 63, 299-306, 1990.
-
"Reinforcement training strategies for
probabilistic RAMs", D Gorse and J G Taylor,
in: Theoretical Aspects of Neurocomputing,
eds. M Novak and E Pelikan, World Scientific (1990), pp 180-184.
-
"Training strategies for probabilistic RAMs",D Gorse and J G Taylor,
in: Parallel Processing in Neural Systems and Computers, eds
R Eckmiller, G Hartmann and G Hauske, North-Holland, 1990, pp 161-164.
-
"pRAM automata", T G Clarkson, D Gorse and J G Taylor, in: Proceedings of
1990 IEEE International Workshop on Cellular Neural Networks and their
Applications, Budapest, December 1990, pp 235-243.
-
"Hardware realisable learning algorithms", D Gorse and J G Taylor,
in: Proceedings of the International Neural Network Conference, Paris,
July 1990, pp 821-824.
1989
-
"An analysis of noisy RAM and neural nets",D Gorse and J G Taylor,
Physica D, 34, 90-114, 1989.
-
"A new model of the neuron", D Gorse, in: New Developments in
Neural Computing, eds. J G Taylor and C L T Mannion, Adam Hilger
(1989), pp 111-118.
-
"Towards a hardware realisable model of the
neuron", D Gorse and J G Taylor,
in: Models of Brain Function, ed. Rodney M J Cotterill,
CUP (1989).
-
"Hardware realisable models of
neural processing", T G Clarkson, D Gorse and J G Taylor,
in: Proceedings of the First IEE International
Conference on Artificial Neural Networks, 1989, pp 242-246.
1988
-
"On the equivalence and properties of noisy
neural and probabilistic RAM nets", D Gorse and J G Taylor,
Physics Letters A, 131, 326-332, 1988.
|